Mingde Fu
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Paraoxonase enzyme and polymorphisms
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 20
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- Cancer, Lipids, and Metabolism 6
- Co-authors
- Yanhua Xu (20 shared papers)Li Tian (6 shared papers)Lianqun Jia (12 shared papers)Shiyin Long (9 shared papers)Bingyu Yan (3 shared papers)Li Tian (12 shared papers)Yinghui Liu (5 shared papers)Ying Tian (4 shared papers)
- Journals
- Clinica Chimica Acta (6 papers)Lipids in Health and Disease (5 papers)Metabolism (2 papers)European Journal of Lipid Science and Technology (2 papers)Journal of Atherosclerosis and Thrombosis (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Mingde Fu
27 papers receiving 450 citations
Peers
Comparison fields: 5 of 66
- Endocrinology, Diabetes and Metabolism 235
- Clinical Biochemistry 31
- Cancer Research 52
- Cardiology and Cardiovascular Medicine 73
- Surgery 139
Countries citing papers authored by Mingde Fu
This map shows the geographic impact of Mingde Fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mingde Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingde Fu more than expected).
Fields of papers citing papers by Mingde Fu
This network shows the impact of papers produced by Mingde Fu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mingde Fu. The network helps show where Mingde Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingde Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 51 | |
| 2 | 2003 | 48 | |
| 3 | 2010 | 45 | |
| 4 | 2004 | 43 | |
| 5 | 2005 | 31 | |
| 6 | 2006 | 25 | |
| 7 | 2014 | 23 | |
| 8 | 2005 | 20 | |
| 9 | 2005 | 19 | |
| 10 | 2005 | 19 | |
| 11 | 2012 | 18 | |
| 12 | 2011 | 16 | |
| 13 | 2010 | 14 | |
| 14 | 2007 | 14 | |
| 15 | 2006 | 13 | |
| 16 | 2009 | 12 | |
| 17 | 2009 | 8 | |
| 18 | 2011 | 8 | |
| 19 | 2012 | 7 | |
| 20 | 2007 | 7 |
About Mingde Fu
Mingde Fu is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Cardiology and Cardiovascular Medicine, Surgery and Epidemiology, having authored 27 papers that have together received 461 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Lipoproteins and Cardiovascular Health (8 papers), Cancer, Lipids, and Metabolism (6 papers), Lipid metabolism and disorders (4 papers), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Coronary Interventions and Diagnostics (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (235 citations), Clinical Biochemistry (31 citations), Cancer Research (52 citations), Cardiology and Cardiovascular Medicine (73 citations) and Surgery (139 citations). Mingde Fu has collaborated with scholars based in China and United States. Frequent co-authors include Yanhua Xu, Li Tian, Lianqun Jia, Shiyin Long, Bingyu Yan, Li Tian, Yinghui Liu, Ying Tian, Lantu Gou and Haoming Tian. Their work appears in journals such as Clinica Chimica Acta, Lipids in Health and Disease, Metabolism, European Journal of Lipid Science and Technology and Journal of Atherosclerosis and Thrombosis.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.